hermes-jev-skills: routing, memory, compaction, GUI clicks for Hermes

Jev-powered model routing, memory, context compaction, skill selection and computer/browser use for Hermes agents (also Claude Code and Codex), with a routing dashboard and shadow mode that shows what Jev routing would have saved before you switch it on.

Notes

~0.4 s per decision, fractions of a cent; author reports an 81.8% cache hit rate on his fleet and that above ~32k context a downgrade never pays because of cache rebuild.

source-backed — Public repository, docs or live artifact. About this label

Destinations

Try a walkthrough

• Connect Jev to your app →

  Set up the Python SDK, make a typed routing decision and keep the result under your application's control.

• Route the next step of an agent →

  Let Jev choose a proposed next step, then apply an explicit allow, review or fallback policy before any tool runs.

Verification levels

Report a problem →

Filed under

• #hermes
• #routing
• #memory
• #compaction
• #computer-use
• #claude-code
• #codex

In collections

• Agent harnesses →